Data Analytics
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Warehouses & lakes

S3 Data Lake connector

Store raw and curated data as Parquet in your data lake.

How we unlock S3 Data Lake

01

Connect the source

Secure authentication to S3 Data Lake via OAuth, API key or a read-only database user.

02

Select streams and frequency

Together we decide which objects and fields you need and whether we load fully or incrementally.

03

Load into your data platform

Data lands in your warehouse or lakehouse and is modelled into usable tables.

04

Monitoring and alerting

Every run is monitored; on failures or anomalies you get an immediate alert.

What you can do with it

  • Combine history from S3 Data Lake with other sources in one report.
  • Daily or near real-time refresh without manual exports.
  • Reliable KPIs thanks to validation and data quality rules.
  • A traceable, documented data flow that is audit-proof.

Related connectors

SnowflakeRead from or load into Snowflake as your central analytics layer.BigQueryLoad data into BigQuery with partitioning and clustering.Databricks LakehouseWrite to Delta tables in your Databricks lakehouse.Amazon RedshiftBulk-load into Redshift via S3 staging.Microsoft FabricLoad data into OneLake and Fabric warehouses.Azure SynapseFeed Synapse dedicated and serverless pools with source data.